I am using the following command to replace all the missing values and assorted typos in a dataframe with NA:
mydata[mydata>80]=NA The problem is that the first column contains values which should be more than 80, so really I want to do it just for mydata[,2:length(mydata)] I can't seem to re-write the code to fit: mydata[,2:length(mydata)>80]=NA # no error message, but doesn't work- doesn't do anything, it would seem I realise I can just keep the first column somewhere safe and copy it back again when I'm done, but I wondered if there was a more elegant solution, which would be much more important, if say I just wanted to replace the odd columns, or something like that. I found this code on the internet too: idx <- which(foo>80, arr.ind=TRUE) foo[idx[1], idx[2]] <- NA But I can't seem to rewrite that either, for the same reason Many thanks! Chris Beeley Institute of Mental Health ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
